Detection and Reinforcement of Celiac Communities on Twitter Argentina.

  • Andrés Giordano Departamento de Ciencias Básicas, Universidad Nacional de Luján
  • Santiago Banchero Departamento de Ciencias Básicas, Universidad Nacional de Luján
  • Natacha Cerny Departamento de Ciencias Básicas, Universidad Nacional de Luján
  • Mauricio De Marzi Departamento de Ciencias Básicas, Universidad Nacional de Luján
  • Gabriel Tolosa Departamento de Ciencias Básicas, Universidad Nacional de Luján

Resumen

Social Networks have shown great growth relating the number of their users and generated content. For example, Twitter is used as a means to gather support, express ideas and opinions on various topics or interact with users with similar interests. In the latter case, the idea of community formation appears, that is, groups of users that are more
closely related to each other than the rest of the nodes in the network. In this work we propose the detection of the community of users of Argentina interested in the celiac disease. We apply a series of techniques to detect and characterize them. In addition, we propose and use a methodology for the detection of more influential and active nodes
(users), showing how the community can be reinforced by the recommendation of some particular links. The results show that with only a low percentage of accepted recommendation the network becomes denser and average distance between two users decreases quickly, thus improving the spread of information.

Publicado
2019-03-29
Cómo citar
Giordano, A., Banchero, S., Cerny, N., De Marzi, M., & Tolosa, G. (2019). Detection and Reinforcement of Celiac Communities on Twitter Argentina. Electronic Journal of SADIO (EJS), 18(1), 2-25. Recuperado a partir de https://publicaciones.sadio.org.ar/index.php/EJS/article/view/82